An aircraft airfoil activity detection method, device, equipment and medium
By acquiring the angular velocity matrix of moving parts on the aircraft wing surface through a camera measurement system, the problems of low efficiency and poor reliability of traditional detection methods are solved, and efficient and accurate motion detection is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHENGDU AIRCRAFT INDUSTRY GROUP
- Filing Date
- 2023-10-12
- Publication Date
- 2026-05-12
AI Technical Summary
Traditional methods for detecting the mobility of aircraft wing surfaces are inefficient, and visual inspection is unreliable, failing to effectively determine the rotational flexibility and whether moving parts are stuck, thus posing potential quality risks.
A camera measurement system is used to obtain the center coordinates of the coded marker points, and the angular velocity matrix is calculated. The mobility of the moving parts is then digitally determined to be within acceptable limits.
It improves the reliability and accuracy of detection, effectively avoids quality risks caused by human visual inspection, and ensures that moving parts do not jam during rotation.
Smart Images
Figure CN117508632B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of workpiece inspection technology, and in particular to a method, apparatus, equipment and medium for detecting the movement of aircraft wing surfaces. Background Technology
[0002] After assembly, moving parts of an aircraft, such as ailerons and tail fins, require functional testing. One task is the rotational function test of moving parts (e.g., ailerons), which checks whether the moving parts can move (mainly rotate) within a given angle range as designed, and requires that the moving parts rotate flexibly without jamming. Traditional inspection methods involve one pilot operating the equipment in the cockpit while another inspector visually observes from outside the aircraft. However, due to visual fatigue and subjectivity, human visual inspection suffers from low reliability in determining rotational flexibility and the absence of jamming, and may even fail to detect problems, leading to serious quality risks.
[0003] Therefore, there is an urgent need for a more efficient method for detecting aircraft wing surface movement. Summary of the Invention
[0004] This application provides a method, apparatus, device, and medium for detecting aircraft wing surface activity, which solves the technical problem of low efficiency in the detection of aircraft wing surface activity in the prior art.
[0005] On one hand, embodiments of this application provide a method for detecting the wing surface activity of an aircraft, including the following steps:
[0006] Based on the input information of the camera measurement system, the parameter information of the camera measurement system is obtained; wherein, the input information includes the equivalent radius value, the field of view value, and the measurement accuracy value; the parameter information includes the camera field of view value, the camera shooting distance value, the camera resolution, the pixel size value, and the lens focal length value;
[0007] The camera measurement system takes multiple images of the target moving part during its rotation at a preset frame rate and obtains the center coordinate values of the coded marker points on each image.
[0008] Based on the center coordinates of the coded markers on each image, the angular velocity values at the shooting time points corresponding to each image are obtained;
[0009] Based on the angular velocity values at the shooting time points corresponding to each of the images, the angular velocity matrix of the target moving part is obtained; based on the angular velocity matrix of the target moving part, it is determined whether the mobility of the target moving part is qualified.
[0010] As some optional embodiments of this application, the equivalent radius value is obtained through the following steps:
[0011] Arrange coded markers on the outer edge of the target moving parts on the aircraft wing surface;
[0012] Based on the center point of the coded marker and the center point of the target active component, the equivalent radius values of the two are obtained.
[0013] As some optional embodiments of this application, obtaining the parameter information of the camera measurement system based on the input information of the camera measurement system includes:
[0014] Based on the equivalent radius value and the field of view value, the camera shooting distance value is obtained;
[0015] Based on the equivalent radius value, the camera field of view value is obtained;
[0016] Based on the camera shooting distance value and the camera field of view value, the camera resolution, pixel size value and lens focal length value are obtained.
[0017] As some optional embodiments of this application, the camera field of view values satisfy the following relationship:
[0018]
[0019] In the formula, FOV min R represents the camera's field of view; R represents the equivalent radius.
[0020] As some optional embodiments of this application, the camera shooting distance value satisfies the following relationship:
[0021]
[0022] In the formula, FOV min Indicates the camera's field of view value; Indicates the field of view. ≤45°; This indicates the camera's shooting distance value.
[0023] As some optional embodiments of this application, the preset frame rate satisfies the following relationship:
[0024]
[0025] In the formula, K represents the preset frame rate; R represents the fastest angular velocity value, R represents the equivalent radius value, and B represents the size of a pixel on the camera target surface.
[0026] As some optional embodiments of this application, the angular velocity value satisfies the following relationship:
[0027]
[0028] In the formula, Represents the angular velocity value at time point j, where R represents the equivalent radius; T represents the rotation time. ; Indicates the interval between shots. = ; .
[0029] As some optional embodiments of this application, the angular velocity matrix of the target moving part satisfies the following relationship:
[0030]
[0031] In the formula, express List, The angular velocity matrix of the row, , T represents the rotation time.
[0032] As some optional embodiments of this application, the step of determining whether the degree of motion of the target moving part is qualified based on the angular velocity matrix of the target moving part includes:
[0033] Based on the angular velocity matrix of the target moving part, an angular velocity curve is obtained; wherein, the angular velocity curve includes multiple angular velocity curves;
[0034] The angular velocity curves are divided into an ascending segment, a constant velocity segment, and a descending segment.
[0035] The angular velocity value corresponding to the uniform velocity segment is compared with the angular velocity threshold to obtain the comparison result;
[0036] If the comparison result shows that the angular velocity value corresponding to the uniform speed segment is greater than the angular velocity threshold, it indicates that the mobility of the target moving part is unqualified.
[0037] If the comparison result shows that the angular velocity value corresponding to the uniform speed segment is less than or equal to the angular velocity threshold, it indicates that the mobility of the target moving part is qualified.
[0038] Furthermore, embodiments of this application provide an aircraft wing surface movement detection device, comprising:
[0039] The parameter setting module is used to obtain the parameter information of the camera measurement system based on the input information of the camera measurement system; wherein, the input information includes the equivalent radius value, the field of view value, and the measurement accuracy value; the parameter information includes the camera field of view value, the camera shooting distance value, the camera resolution, the pixel size value, and the lens focal length value.
[0040] The image acquisition module is used by the camera measurement system to capture multiple images of the target moving part during the rotation process at a preset frame rate, and to obtain the center coordinate values of the coded marker points on each image;
[0041] The data processing module is used to obtain the angular velocity value of the shooting time point corresponding to each of the images based on the center coordinate value of the coded marker point on each image;
[0042] The data detection module is used to obtain the angular velocity matrix of the target moving part based on the angular velocity values at the shooting time points corresponding to each image; and to determine whether the activity of the target moving part is qualified based on the angular velocity matrix of the target moving part.
[0043] In another aspect, embodiments of this application provide an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the aircraft wing surface activity detection method described above.
[0044] In another aspect, embodiments of this application provide a computer-readable storage medium storing a computer program, wherein a processor executes the computer program to implement the aircraft wing surface activity detection method described above.
[0045] Compared with existing technologies, this application provides a method for detecting the wing surface mobility of an aircraft. Specifically, based on input information from a camera measurement system, parameter information of the camera measurement system is obtained; wherein, the input information includes an equivalent radius value, a field of view value, and a measurement accuracy value; the parameter information includes a camera field of view value, a camera shooting distance value, a camera resolution, a pixel size value, and a lens focal length value; the camera measurement system takes multiple images of the target moving part during its rotation at a preset frame rate and obtains the center coordinate values of coded marker points on each image; based on the center coordinate values of the coded marker points on each image, the angular velocity value at the corresponding shooting time point of each image is obtained; based on the angular velocity values at the corresponding shooting time points of each image, the angular velocity matrix of the target moving part is obtained; based on the angular velocity matrix of the target moving part, it is determined whether the mobility of the target moving part is qualified. As can be seen, the detection method provided in this application replaces the human visual inspection method with digital measurement, and its detection results are more reliable and accurate. It can solve the problem that the subtle speed changes of moving parts cannot be detected by human visual inspection. However, by using a camera measurement system, all the detailed information of the entire rotation process of the moving parts can be captured at a certain shooting frame rate, which can effectively avoid the quality problems caused by the inability of the human eye to inspect. Attached Figure Description
[0046] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0047] Figure 1 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application;
[0048] Figure 2 This is a schematic flowchart of an aircraft wing surface activity detection method provided in an embodiment of this application;
[0049] Figure 3 This is a schematic diagram of an aircraft wing surface mobility detection process provided in an embodiment of this application;
[0050] Figure 4 This is a schematic diagram of an encoding marker structure provided in an embodiment of this application;
[0051] Figure 5 This is a schematic diagram of the rotation process of a target moving part provided in an embodiment of this application;
[0052] Figure 6 This is a schematic diagram illustrating the relationship between the rotation center 205, the equivalent radius value R, and the coordinates of the center point at each time point, as provided in an embodiment of this application.
[0053] Figure 7 This is a schematic diagram of velocity data corresponding to the qualified angle of the activity of a target moving part provided in an embodiment of this application;
[0054] Figure 8 This is a schematic diagram of velocity data corresponding to an unqualified angle of movement of a target moving part, as provided in an embodiment of this application.
[0055] Figure 9 This is a schematic diagram of an aircraft wing surface activity detection device provided in an embodiment of this application. Detailed Implementation
[0056] It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit this application.
[0057] The main solution of this application embodiment is: a method for detecting the wing surface mobility of an aircraft. Specifically, it obtains parameter information of a camera measurement system based on input information from the camera measurement system; wherein the input information includes an equivalent radius value, a field of view value, and a measurement accuracy value; the parameter information includes a camera field of view value, a camera shooting distance value, a camera resolution, a pixel size value, and a lens focal length value; the camera measurement system takes multiple images of the target moving part during its rotation at a preset frame rate and obtains the center coordinate values of coded marker points on each image; based on the center coordinate values of the coded marker points on each image, it obtains the angular velocity value at the shooting time point corresponding to each image; based on the angular velocity values at the shooting time point corresponding to each image, it obtains the angular velocity matrix of the target moving part; based on the angular velocity matrix of the target moving part, it determines whether the mobility of the target moving part is qualified.
[0058] After assembly, moving parts of an aircraft, such as ailerons and tail fins, require functional testing. One task is the rotational function test of moving parts (e.g., ailerons), which checks whether the moving parts can move (mainly rotate) within a given angle range as designed, and requires that the moving parts rotate flexibly without jamming. Traditional inspection methods involve one pilot operating the equipment in the cockpit while another inspector visually observes from outside the aircraft. However, due to visual fatigue and subjectivity, human visual inspection suffers from low reliability in determining rotational flexibility and the absence of jamming, and may even fail to detect problems, leading to serious quality risks.
[0059] To address the above problems, this application provides a method for detecting the wing surface mobility of an aircraft. By introducing a visual measurement method, coded markers are placed on the outer edge of the moving parts of the aircraft wing surface. Then, a camera measurement system is placed at a certain distance perpendicular to the rotation axis of the moving parts. By acquiring the center coordinates of the coded markers on each image within a time period, the angular velocity at the coded markers is calculated. Finally, data analysis is used to determine whether the moving parts meet the rotation requirements.
[0060] Reference Figure 1 , Figure 1 This is a schematic diagram of the electronic device structure of the hardware operating environment involved in the embodiments of this application.
[0061] like Figure 1As shown, the electronic device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen or an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as a disk drive. The memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001.
[0062] Those skilled in the art will understand that Figure 1 The structure shown does not constitute a limitation on the electronic device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.
[0063] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a network communication module, a user interface module, and electronic programs.
[0064] exist Figure 1 In the electronic device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the electronic device of this application can be set in the electronic device, and the electronic device calls the aircraft wing surface activity detection device stored in the memory 1005 through the processor 1001 and executes the aircraft wing surface activity detection method provided in the embodiment of this application.
[0065] See Figure 2 The embodiments of this application provide a method for detecting the wing surface activity of an aircraft, including the following steps:
[0066] Step S10: Based on the input information of the camera measurement system, obtain the parameter information of the camera measurement system; wherein, the input information includes the equivalent radius value, the field of view value, and the measurement accuracy value; the parameter information includes the camera field of view value, the camera shooting distance value, the camera resolution, the pixel size value, and the lens focal length value.
[0067] It should be noted that the equivalent radius value is obtained through the following steps: arranging coded marker points at the outer edge of the target moving part on the aircraft wing surface; and obtaining the equivalent radius value of the two based on the center point of the coded marker points and the center point of the target moving part.
[0068] Among them, the arrangement of coded marker points at the outer edge of the target moving parts on the aircraft wing surface, such as Figures 3-4 As shown, marker 402 is connected to base 401 by adhesive or magnetic attraction. Base 401 is connected to the surface of the moving part 2 of the aircraft. The movable joint on base 401 allows the working surface of marker 402 to be parallel to the camera measurement system 3. Base 401 is placed at the outer edge of the moving part 2 and near the end of the camera measurement system 3, ensuring that the camera measurement system 3 can always capture image information of marker 2 during the rotation of the moving part 2. Marker 402 should at least contain a standard circular feature with reflective properties; other features are not mandatory and can be commercially available reflective markers or coded markers.
[0069] In the specific implementation process, obtaining the parameter information of the camera measurement system based on the input information of the camera measurement system includes: obtaining the camera shooting distance value based on the equivalent radius value and the field of view value;
[0070] Based on the equivalent radius value, the camera field of view value is obtained; based on the camera shooting distance value and the camera field of view value, the camera resolution, pixel size value and lens focal length value are obtained.
[0071] The camera field of view values satisfy the following relationship:
[0072]
[0073] In the formula, FOV min R represents the camera's field of view; R represents the equivalent radius.
[0074] The camera's shooting distance value satisfies the following relationship:
[0075]
[0076] In the formula, FOV min Indicates the camera's field of view value; Indicates the field of view. ≤45°; This indicates the camera's shooting distance. It should be noted that, to reduce image distortion, this application sets the field of view. ≤45°; The camera shooting distance value mentioned in this application refers to the distance from the front face of the camera to the near end face of the moving part.
[0077] Step S20: The camera measurement system takes multiple images of the target moving part during its rotation at a preset frame rate and obtains the center coordinate values of the coded marker points on each image.
[0078] In the specific implementation process, in order to ensure the image capture quality and to ensure that the center coordinates of each frame can be accurately obtained during image processing, the movement distance within each frame should be less than one pixel size. Therefore, the frame rate should meet the following conditions: The preset frame rate satisfies the following relationship:
[0079]
[0080] In the formula, K represents the preset frame rate; Let R represent the fastest angular velocity value, B represent the equivalent radius value, and R represent the size of a pixel on the camera target surface. In the above formula, the fastest angular velocity value... The fastest linear velocity can be obtained, i.e. .
[0081] Can be combined Figure 5 Understanding the rotation process of the target moving part, such as... Figure 5 As shown, 201 represents the initial position of the target moving part before rotation, 202 represents the position of the target moving part during rotation, and 203 represents the position of the target moving part after rotation. Therefore, a detailed diagram showing the relationship between the rotation center 205, the equivalent radius value R, and the center point coordinates at each time point during the rotation of the target moving part is provided below. Figure 6 .
[0082] Step S30: Based on the center coordinates of the coded markers on each image, obtain the angular velocity value at the shooting time point corresponding to each image.
[0083] The angular velocity values satisfy the following relationship:
[0084]
[0085] In the formula, Represents the angular velocity value at time point j, where R represents the equivalent radius; T represents the rotation time. ; Indicates the interval between shots. = ; .
[0086] Step S40: Based on the angular velocity values at the shooting time points corresponding to each of the images, obtain the angular velocity matrix of the target moving part; based on the angular velocity matrix of the target moving part, determine whether the activity of the target moving part is qualified.
[0087] The angular velocity matrix of the target moving part satisfies the following relationship:
[0088]
[0089] In the formula, express List, The angular velocity matrix of the row, , T represents the rotation time.
[0090] In the specific implementation process, the angular velocity matrix of the target moving part can be achieved through the following steps:
[0091] 1) For a single measurement process, the moving part 2 rotates from the starting position 201 to the ending position 203, and the rotation time is recorded as follows: A total of [number] images were captured during a single measurement process. Zhang Image Let be the coordinates of the center of the corresponding marker point in the image, where .
[0092] 2) For a single measurement process, the coded marker moves from the starting position 201 to the ending position 203, and the angular velocity at each time point is... :
[0093]
[0094] in .
[0095] 3) Repeat the measurement under the same test conditions. Second-rate( ), and record The image of this measurement process can be used to obtain the angular velocity matrix of the moving parts. :
[0096]
[0097] in, express List, The angular velocity matrix of the row, express List, The angular acceleration matrix of the row, , .
[0098] In a further embodiment, determining whether the mobility of the target moving part is qualified based on the angular velocity matrix of the target moving part includes: obtaining an angular velocity curve based on the angular velocity matrix of the target moving part; wherein the angular velocity curve includes multiple angular velocity curves; dividing each angular velocity curve into an ascending segment, a constant velocity segment, and a descending segment; comparing the angular velocity value corresponding to the constant velocity segment with an angular velocity threshold to obtain a comparison result; if the comparison result shows that the angular velocity value corresponding to the constant velocity segment is greater than the angular velocity threshold, it indicates that the mobility of the target moving part is unqualified. Figure 7 As shown; if the comparison result shows that the angular velocity value corresponding to the uniform velocity segment is less than or equal to the angular velocity threshold, it indicates that the mobility of the target moving part is qualified, such as... Figure 8 As shown.
[0099] As can be seen, the present application introduces a visual measurement method, arranges coded markers on the outer edge of the moving parts of the aircraft wing, and then arranges a camera measurement system at a certain distance perpendicular to the rotation axis of the moving parts. By acquiring the center coordinates of the coded markers on each image within a time period, the angular velocity at the coded markers is calculated. Finally, the data analysis is used to determine whether the moving parts meet the rotation requirements.
[0100] See Figure 9 Based on the same inventive concept, embodiments of this application also provide an aircraft wing surface movement detection device, comprising:
[0101] The parameter setting module is used to obtain the parameter information of the camera measurement system based on the input information of the camera measurement system; wherein, the input information includes the equivalent radius value, the field of view value, and the measurement accuracy value; the parameter information includes the camera field of view value, the camera shooting distance value, the camera resolution, the pixel size value, and the lens focal length value.
[0102] The image acquisition module is used by the camera measurement system to capture multiple images of the target moving part during the rotation process at a preset frame rate, and to obtain the center coordinate values of the coded marker points on each image;
[0103] The data processing module is used to obtain the angular velocity value of the shooting time point corresponding to each of the images based on the center coordinate value of the coded marker point on each image;
[0104] The data detection module is used to obtain the angular velocity matrix of the target moving part based on the angular velocity values at the shooting time points corresponding to each image; and to determine whether the activity of the target moving part is qualified based on the angular velocity matrix of the target moving part.
[0105] It should be noted that each module in the aircraft wing surface activity detection device in this embodiment corresponds one-to-one with each step in the aircraft wing surface activity detection method in the aforementioned embodiment. Therefore, the specific implementation method and the technical effects achieved in this embodiment can be referred to the implementation method of the aforementioned aircraft wing surface activity detection method, and will not be repeated here.
[0106] Furthermore, in one embodiment, this application also provides an electronic device, the electronic device including a processor, a memory, and an acquisition machine program stored in the memory, the acquisition machine program being executed by the processor to implement the steps of the method in the foregoing embodiments.
[0107] In addition, in one embodiment, this application also provides an acquisition machine storage medium, on which an acquisition machine program is stored, and the acquisition machine program is executed by a processor to implement the steps of the method in the foregoing embodiments.
[0108] In some embodiments, the machine-readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disk, or CD-ROM; or it may be a device including one or any combination of the above-mentioned memories. The acquisition machine may be a variety of acquisition devices, including smart terminals and servers.
[0109] In some embodiments, executable instructions may take the form of a program, software, software module, script, or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as a standalone program or as a module, component, subroutine, or other unit suitable for use in the acquisition environment.
[0110] As an example, executable instructions may, but do not necessarily, correspond to files in the file system. They may be stored as part of a file that holds other programs or data, for example, in one or more scripts in a Hyper Text Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple collaborative files (e.g., a file that stores one or more modules, subroutines, or code sections).
[0111] As an example, executable instructions can be deployed to execute on a single acquisition device, or on multiple acquisition devices located at one location, or on multiple acquisition devices distributed across multiple locations and interconnected via a communication network.
[0112] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.
[0113] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.
[0114] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This acquisition machine software product is stored in a storage medium (such as read-only memory / random access memory, magnetic disk, optical disk), and includes several instructions to cause a multimedia terminal device (which may be a mobile phone, acquisition machine, television receiver, or network device, etc.) to execute the methods described in the various embodiments of this application.
[0115] The above-disclosed embodiments are merely partial examples of this application and should not be construed as limiting the scope of this application. Those skilled in the art will understand that implementing all or part of the above embodiments and making equivalent changes in accordance with the claims of this application are still within the scope of the invention.
Claims
1. A method for detecting the wing surface mobility of an aircraft, characterized in that, Includes the following steps: Based on the input information of the camera measurement system, the parameter information of the camera measurement system is obtained; wherein, the input information includes the equivalent radius value, the field of view value, and the measurement accuracy value; the parameter information includes the camera field of view value, the camera shooting distance value, the camera resolution, the pixel size value, and the lens focal length value; the equivalent radius value is obtained through the following steps: arranging coded marker points at the outer edge of the target moving part on the aircraft wing surface; and obtaining the equivalent radius values of the center point of the coded marker point and the center point of the target moving part. The camera measurement system takes multiple images of the target moving part during its rotation at a preset frame rate and obtains the center coordinates of the coded marker points on each image; the preset frame rate satisfies the following relationship: In the formula, K represents the preset frame rate; R represents the fastest angular velocity value, R represents the equivalent radius value, and B represents the size of a pixel on the camera target surface; Based on the center coordinates of the coded markers on each image, the angular velocity values at the shooting time points corresponding to each image are obtained; Based on the angular velocity values at the shooting time points corresponding to each of the images, the angular velocity matrix of the target moving part is obtained; based on the angular velocity matrix of the target moving part, it is determined whether the mobility of the target moving part is qualified.
2. The method for detecting the wing surface mobility of an aircraft according to claim 1, characterized in that, The process of obtaining parameter information of the camera measurement system based on the input information of the camera measurement system includes: Based on the equivalent radius value and the field of view value, the camera shooting distance value is obtained; Based on the equivalent radius value, the camera field of view value is obtained; Based on the camera shooting distance value and the camera field of view value, the camera resolution, pixel size value and lens focal length value are obtained.
3. The method for detecting the wing surface mobility of an aircraft according to claim 2, characterized in that, The camera field of view values satisfy the following relationship: In the formula, FOV min R represents the camera's field of view; R represents the equivalent radius.
4. The method for detecting the wing surface movement of an aircraft according to claim 2, characterized in that, The camera's image capture distance value satisfies the following relationship: In the formula, FOV min Indicates the camera's field of view value; Indicates the field of view. ≤45°; This indicates the camera's shooting distance value.
5. The method for detecting the wing surface mobility of an aircraft according to claim 1, characterized in that, The angular velocity values satisfy the following relationship: In the formula, Represents the angular velocity value at time point j, where R represents the equivalent radius; T represents the rotation time. ; Indicates the interval between shots. = .
6. The method for detecting the wing surface movement of an aircraft according to claim 1, characterized in that, The angular velocity matrix of the target moving part satisfies the following relationship: In the formula, express List, The angular velocity matrix of the row, , T represents the rotation time.
7. The method for detecting the wing surface mobility of an aircraft according to claim 1, characterized in that, The step of determining whether the mobility of the target moving part is qualified based on the angular velocity matrix of the target moving part includes: Based on the angular velocity matrix of the target moving part, an angular velocity curve is obtained; wherein, the angular velocity curve includes multiple angular velocity curves; The angular velocity curves are divided into an ascending segment, a constant velocity segment, and a descending segment. The angular velocity value corresponding to the uniform velocity segment is compared with the angular velocity threshold to obtain the comparison result; If the comparison result shows that the angular velocity value corresponding to the uniform speed segment is greater than the angular velocity threshold, it indicates that the mobility of the target moving part is unqualified. If the comparison result shows that the angular velocity value corresponding to the uniform speed segment is less than or equal to the angular velocity threshold, it indicates that the mobility of the target moving part is qualified.
8. A device for detecting the wing surface mobility of an aircraft, characterized in that, include: The parameter setting module is used to obtain the parameter information of the camera measurement system based on the input information of the camera measurement system. The input information includes an equivalent radius value, a field of view value, and a measurement accuracy value. The parameter information includes a camera field of view value, a camera shooting distance value, a camera resolution, a pixel size value, and a lens focal length value. The equivalent radius value is obtained through the following steps: coded marker points are arranged at the outer edge of the target moving part on the aircraft wing surface; based on the center point of the coded marker points and the center point of the target moving part, the equivalent radius values of both are obtained. An image acquisition module is used by the camera measurement system to capture multiple images of the target moving part during its rotation at a preset frame rate, and to obtain the center coordinate values of coded marker points on each image; the preset frame rate satisfies the following relationship: In the formula, K represents the preset frame rate; R represents the fastest angular velocity value, R represents the equivalent radius value, and B represents the size of a pixel on the camera target surface; The data processing module is used to obtain the angular velocity value of the shooting time point corresponding to each of the images based on the center coordinate value of the coded marker point on each image; The data detection module is used to obtain the angular velocity matrix of the target moving part based on the angular velocity values at the shooting time points corresponding to each image; and to determine whether the activity of the target moving part is qualified based on the angular velocity matrix of the target moving part.
9. An electronic device, characterized in that, The electronic device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the aircraft wing surface activity detection method as described in any one of claims 1-7.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, and the processor executes the computer program to implement the aircraft wing surface activity detection method as described in any one of claims 1-7.